Inhomogeneous Background Error Modeling and Estimation over Antarctica

The structure of the analysis increments in a variational data assimilation scheme is strongly driven by the formulation of the background error covariance matrix, especially in data-sparse areas such as the Antarctic region. The gridpoint background error modeling in this study makes use of regress...

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Bibliographic Details
Published in:Monthly weather review 2010-06, Vol.138 (6), p.2229-2252
Main Authors: MICHEL, Yann, AULIGNE, Thomas
Format: Article
Language:English
Subjects:
Antarctic zone
Antarctica
Boundary conditions
Boundary layers
Climatology
Computation
Correlation
Correlation analysis
Covariance matrix
Data assimilation
Data collection
Earth, ocean, space
Empirical analysis
Error analysis
Exact sciences and technology
External geophysics
Filters
Ice
IIR filters
Mathematical analysis
Mathematical models
Meteorology
Modelling
Operators (mathematics)
Orography
Orthogonal functions
Ozone
Physics
Regions
Regression analysis
Satellites
Statistical analysis
Statistical methods
Topography
Weather
Weather analysis and prediction
Weather forecasting
Wind
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Summary:The structure of the analysis increments in a variational data assimilation scheme is strongly driven by the formulation of the background error covariance matrix, especially in data-sparse areas such as the Antarctic region. The gridpoint background error modeling in this study makes use of regression-based balance operators between variables, empirical orthogonal function decomposition to define the vertical correlations, gridpoint variances, and high-order efficient recursive filters to impose horizontal correlations. A particularity is that the regression operators and the recursive filters have been made spatially inhomogeneous. The computation of the background error statistics is performed with the Weather Research and Forecast (WRF) model from a set of forecast differences. The mesoscale limited-area domains of interest cover Antarctica. Inhomogeneities of background errors are shown to be related to the particular orography and physics of the area. Differences seem particularly pronounced between ocean and land boundary layers.
ISSN:0027-0644
1520-0493
DOI:10.1175/2009MWR3139.1